Browsing by Author David G. Luenberger

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  • TVS.000371- Linear and Nonlinear Programming-TT.pdf.jpg
  • Book


  • Authors: David G. Luenberger (2008)

  • This third edition of the classic textbook in Optimization has been fully revised and updated. It comprehensively covers modern theoretical insights in this crucial computing area, and will be required reading for analysts and operations researchers in a variety of fields. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods. The book also has a new co-author, Yinyu Ye of California’s Stanford University, who has written lots of extra material including some on Interior Point Methods.

  • TVS.002089. (International Series in Operations Research &_ Management Science 228) David G. Luenberger, Yinyu Ye (auth.) - Linear and Nonlinear Pr-GT.pdf.jpg
  • Sách/Book


  • Authors: David G. Luenberger (2016)

  • This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. Again a connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve the problem. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is a self-contained introduction to linear programming covering numerical algorithms and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality con...